Izvestiya, Atmospheric and Oceanic Physics

, Volume 53, Issue 9, pp 1174–1184 | Cite as

Correlation Analysis of Experimental Remote-Sensing Data and Models of Microwave Rough Sea-Surface Emission

Methods and Means of Processing and Interpretation of Space Information


A correlation analysis of the model calculations and experimental measurements of wind-speed sensitivity of a rough sea-surface microwave emission at a frequency of 37.5 GHz are presented. The field data used in the research were collected over 3 years in the summer and autumn periods at the oceanographic platform of the Marine Hydrophysical Institute, Russian Academy of Sciences (RAS). A hypothesis about a significant correlation between the model calculations and experimentally measured sea-surface emission ability caused by wind forcing was formulated and tested to reveal this correlation. An evaluation of the discrepancy between the model and experimental data has been performed by an analysis of residuals. Our studies have shown that among the selected models not a single one adequately describes the experimental data.


remote sensing correlation analysis analysis of residuals radiometer microwave emission rough sea surface microwave emission-wind speed sensitivity SSM/I 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Apel, J.R., An improved ocean surface wave vector spectrum, J. Geophys. Res., 1994, vol. 99, no. C8, pp. 16269–16291.CrossRefGoogle Scholar
  2. Bendat, J. and Piersol, A., Engineering Applications of Correlation and Spectral Analysis, New York: Wiley, 1980; Moscow: Mir, 1989.Google Scholar
  3. Durden, S.L. and Vesecky, J.F., A physical radar cross-section model for a wind-driven sea with swell, IEEE J. Ocean Eng., 1985, vol. OE-10, no. 4, pp. 445–451.CrossRefGoogle Scholar
  4. Dzura, M.S., Etkin, V.S., Khrupin, A.S., Pospelov, M.N., and Raev, M.D., Radiometers–polarimeters: Principles of design and applications for sea surface microwave emission polarimetry, Int. Geosci. Remote Sens. Symp. (IGARSS’92), Houston, 1992, pp. 1432–1434.Google Scholar
  5. Elfouhaily, T., Chapron, B., Katsaros, K., and Vandemark, D., A unified directional spectrum for long and short wind-driven waves, J. Geophys. Res., 1997, vol. 102, no. C7, pp. 15781–15796.CrossRefGoogle Scholar
  6. Hollinger, J.P., DMSP special sensor microwave/imager calibration/validation, Final Rep., vol. 1, Naval Research Laboratory, Space Sensing Branch, Washington, D.C., 1989.Google Scholar
  7. Kummerow, C.D., Barnes, W., Kozu, T., Shieu, J., and Simpson, J.J., The tropical rainfall measuring mission (TRMM) sensor package, J. Atmos. Ocean. Technol., 1998, vol. 15, no. 3, pp. 809–817.CrossRefGoogle Scholar
  8. Kuz’min, A.V., Goryachkin, Yu.A., Ermakov, D.M., Ermakov, S.A., Komarova, N.Yu., Kuznetsov, A.S., Repina, I.A., Sadovskii, I.N., Smirnov, M.T., Sharkov, E.A., and Chukharev, A.M., The Katsiveli marine hydrographic platform as a subsatellite polygon in the Black Sea, Issled. Zemli Kosmosa, 2009, no. 1, pp. 31–44.Google Scholar
  9. Meissner, Th. and Wentz, F.J., The emissivity of the ocean surface between 6 and 90 GHz over a large range of wind speeds and Earth incident angles, IEEE Trans. Geosci. Remote Sens., 2012, vol. 50, no. 8, pp. 3004–3026.CrossRefGoogle Scholar
  10. Mitsuyasu, H., A historical note on the study of ocean surface waves, J. Oceanogr., 2002, vol. 58, pp. 109–120.CrossRefGoogle Scholar
  11. Sadovsky, I.N., Kuz’min, A.V., Sharkov, E.A., Sazonov, D.S., Pashinov, E.V., Asheko, A.A., and Batulin, S.A., Analysis of models of dielectric permeability of water medium, used in problems of remote sensing of water areas, Preprint no. 2172, Moscow: Space Research Institute RAS, 2013.Google Scholar
  12. Sazonov, D.S., Kuz’min, A.V., and Sadovsky, I.N., Experimental studies of thermal radiation intensity dependence on near-water wind speed for rough sea surface, Izv., Atmos. Ocean. Phys., 2016, vol. 52, no. 9, pp. 911–919.CrossRefGoogle Scholar
  13. Sharkov, E.A., Radioteplovoe distantsionnoe zondirovanie zemli: Fizicheskie osnovy (Radiothermal Remote Sensing of the Earth: Physical Bases), vol. 1, Moscow: IKI RAN, 2014.Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2017

Authors and Affiliations

  1. 1.Space Research InstituteRussian Academy of SciencesMoscowRussia

Personalised recommendations